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, at the University of Cambridge, UK. The Research Assistant will work together with a team of students and research collaborators on the development of learning-based control policies that facilitate
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This is an exciting opportunity for an experienced, ambitious, talented, and highly motivated machine learning scientist to join our team within the Precision Breast Cancer Institute https
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Transactions on Probabilistic Machine Learning. A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, L Kennedy, J Gabry, PC Bürkner, M Modrák (2020). Bayesian Workflow. B Carpenter, A Gelman, MD
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for industry partners. One of the primary programmes delivers training to enable the upskilling and reskilling of employees to handle complex large datasets using cutting edge statistical and machine learning
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interactions in the condensed phase and at surfaces, with a particular emphasis on the development and application of first principles and/or machine learning approaches. Research in the Michaelides group
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Fixed-term: The funds for this post are available for 2 years. Programming languages provide an interface for developing increasingly complex models in science. However, as computer models grow more
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. The successful applicant will have the opportunity to develop skills in mathematical modelling, advanced numerical simulations and machine learning. Fully involved in the basic research in these areas whilst also
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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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successful candidates will need to demonstrate ability and experience with statistical and quantitative data analysis, particularly at the firm level, machine learning methods for analysing text and extracting